Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.49682092666626
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.504490375518799
Linear Weight Rank: 179
Intra Cos: 0.06814586371183395
Inter Cos: 0.005035207606852055
Norm Quadratic Average: 11.145174980163574
Nearest Class Center Accuracy: 0.8685

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.467036724090576
Linear Weight Rank: 179
Intra Cos: 0.10957245528697968
Inter Cos: 0.000773081264924258
Norm Quadratic Average: 11.126565933227539
Nearest Class Center Accuracy: 0.925625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.430566787719727
Linear Weight Rank: 179
Intra Cos: 0.14181633293628693
Inter Cos: 0.0007865773513913155
Norm Quadratic Average: 11.100754737854004
Nearest Class Center Accuracy: 0.964125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.436830043792725
Linear Weight Rank: 179
Intra Cos: 0.21304993331432343
Inter Cos: -0.010039420798420906
Norm Quadratic Average: 11.052580833435059
Nearest Class Center Accuracy: 0.998875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.183645248413086
Linear Weight Rank: 4
Intra Cos: 0.4493495523929596
Inter Cos: -0.06376110017299652
Norm Quadratic Average: 11.184557914733887
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9329290390014648
Inter Cos: -0.10773641616106033
Norm Quadratic Average: 9.528497695922852
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.24960500383377074
Accuracy: 0.905
NC1 Within Class Collapse: 1.2305247783660889
NC2 Equinorm: Features: 0.029018672183156013, Weights: 0.019213424995541573
NC2 Equiangle: Features: 0.27180202802022296, Weights: 0.10522133111953735
NC3 Self-Duality: 0.18663762509822845
NC4 NCC Mismatch: 0.025499999999999967

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.49682092666626
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033128932118415833
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.504490375518799
Linear Weight Rank: 179
Intra Cos: 0.06656920909881592
Inter Cos: 0.0022000609897077084
Norm Quadratic Average: 11.131282806396484
Nearest Class Center Accuracy: 0.8755

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.467036724090576
Linear Weight Rank: 179
Intra Cos: 0.10430268198251724
Inter Cos: 0.00488550728186965
Norm Quadratic Average: 11.1101655960083
Nearest Class Center Accuracy: 0.903

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.430566787719727
Linear Weight Rank: 179
Intra Cos: 0.12622128427028656
Inter Cos: 0.008598094806075096
Norm Quadratic Average: 11.121673583984375
Nearest Class Center Accuracy: 0.8965

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.436830043792725
Linear Weight Rank: 179
Intra Cos: 0.1752503365278244
Inter Cos: -0.002843511290848255
Norm Quadratic Average: 11.053751945495605
Nearest Class Center Accuracy: 0.9075

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.183645248413086
Linear Weight Rank: 4
Intra Cos: 0.3396030366420746
Inter Cos: -0.02953564189374447
Norm Quadratic Average: 10.980963706970215
Nearest Class Center Accuracy: 0.91

Output Layer:
Intra Cos: 0.7381466627120972
Inter Cos: -0.04321455955505371
Norm Quadratic Average: 9.13182544708252
Nearest Class Center Accuracy: 0.911

